Data Engineer

Intuitive Machines; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Intuitive Machines is a space-focused company advancing cislunar exploration from Johnson Space Center in Houston. The Data Engineer will support enterprise data architecture, governance, quality, and integration for NASA’s external engagement platform, enabling intake workflows, CRM operations, and analytics readiness.

The role emphasizes building data foundations, creating scalable data models, and documenting lineage across data domains.

Qualifications

• Bachelor’s degree in engineering; 4–5 years in data engineering or related field.
• Strong data modeling, schema design, and metadata management experience.
• Experience with CRM/workflow systems; Salesforce preferred.
• Ability to translate business requirements into technical/data solutions.
• Experience supporting governance, stewardship, and cross-functional coordination.
• Excellent documentation and written/verbal communication skills.
• Experience preparing data for analytics or AI initiatives.
• Strong organizational skills and ability to manage parallel workstreams.

Responsibilities

• Design and refine data models and schemas.
• Maintain metadata repositories, taxonomies, glossaries, and authoritative definitions.
• Develop and monitor data quality rules, metrics, and remediation plans.
• Document lineage, mappings, interfaces, retention, and lifecycle processes.
• Support integration requirements, exchange analysis, and source to target designs.
• Assist with analytics, dashboards, metrics development, and AI readiness.
• Produce architecture, governance, quality, integration, and analytics documentation.
• Other duties as assigned or required.

Skills

Data modeling

Schema design

Metadata management

CRM systems

Data governance

Documentation

Communication

Analytics readiness

AI readiness

Project coordination

Education

Bachelor’s degree in engineering

Tools

PowerApps

Power BI

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Houston, TX, US

2 days ago Requisition ID: 1589

About Intuitive Machines:

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With multiple NASA lunar missions in development and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers, and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.

Our long-term partnership with NASA has created an exciting opportunity for Data Engineer, on the JETS II contract at the Johnson Space Center in Houston, TX.

About the Position:

NASA’s Front Door (NFD) program is seeking a Data Engineer to support enterprise data architecture, governance, quality, and integration for NASA’s external engagement platform. This role helps build and maintain the data foundation that enables intake workflows, CRM operations, analytics readiness, and cross Agency data interoperability

Responsibilities:

Support NFD’s data architecture, governance, quality, and integration work by designing and refining data models; maintaining metadata, vocabularies, and taxonomies; documenting lineage, mappings, and lifecycle processes; developing data quality rules and remediation guidance; supporting integration analysis and source to target designs; preparing data for analytics and AI; and delivering clear documentation across all data domains.

• Design and refine logical/physical data models and schemas
• Maintain metadata repositories, taxonomies, glossaries, and authoritative definitions
• Develop and monitor data quality rules, metrics, and remediation plans
• Document lineage, mappings, interfaces, retention, and lifecycle processes
• Support integration requirements, exchange analysis, and source to target designs
• Assist with analytics, dashboards, metrics development, and AI readiness
• Produce architecture, governance, quality, integration, and analytics documentation
• Other duties as assigned or required

Requisition Qualifications:

• Typically requires a bachelor’s degree in engineering and a minimum of 4- 5 years of experience in the field or in a related area.
• Strong skills in data modeling, schema design, and metadata management
• Experience with CRM/workflow systems (Salesforce preferred)
• Ability to translate business requirements into technical/data solutions
• Experience supporting governance, stewardship, and cross functional coordination
• Strong documentation and communication skills (verbal and written)
• Experience preparing data for analytics or AI initiatives
• Excellent organizational skills and ability to manage parallel workstreams

Preferred Qualifications:

• 8+ years in data engineering, data architecture, or enterprise data management
• Experience in NASA, Federal environments, or enterprise governance frameworks
• Knowledge of APIs, integration patterns, lifecycle management, and MDM
• Experience with dashboards, metrics, or analytics ready data models
• Experience supporting AI/ML data preparation
• Familiarity with data cataloging and metadata tools
• Experience with PowerApps/Power BI
• Hybrids telework from Houston preferred.
• U.S. citizenship or a minimum of three years of U.S. permanent residency is required for this position.

US EEO Statement:

Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.